Databricks Lakehouse Lead & Data Platform Architect

ExlService Holdings, Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

ExlService Holdings, Inc. in New York, NY seeks a Lead Databricks Data Engineer with 10-12 years of experience to drive design, development, and modernization of enterprise data platforms using Databricks Lakehouse.

This hands-on leadership role demands architecture, mentoring, stakeholder collaboration, and delivering scalable cloud-native data solutions across Azure/AWS/GCP, with emphasis on governance, performance, and AI/ML readiness.

Qualifications

• 10-12 years of experience in Data Engineering, Big Data and Cloud Data Platforms.
• Experience leading enterprise-scale data platforms and modernization initiatives.
• Hands-on in building scalable cloud-native data ecosystems and governance frameworks.

Responsibilities

• Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture.
• Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing.
• Define enterprise data models, ingestion frameworks, and transformation strategies.
• Lead the implementation of Delta Lake, Unity Catalog, and data governance frameworks.
• Build and optimize Spark and PySpark solutions handling large-volume datasets.

Skills

Databricks Lakehouse Platform

Delta Lake

Unity Catalog

Structured Streaming

Databricks SQL

PySpark

Spark

Kafka

Data Governance

Education

Bachelor's Degree in Computer Science, Engineering, IT

Tools

Azure Databricks

AWS Glue

Databricks Workflows

Terraform

Jenkins

GitHub Actions

Job description

ExlService Holdings, Inc. in New York, NY seeks a Lead Databricks Data Engineer with 10-12 years of experience to drive design, development, and modernization of enterprise data platforms using Databricks Lakehouse.

This hands-on leadership role demands architecture, mentoring, stakeholder collaboration, and delivering scalable cloud-native data solutions across Azure/AWS/GCP, with emphasis on governance, performance, and AI/ML readiness.